Test set creation and management
Summarize
Summary of Test Set Creation and Management
The Test Set Creation and Management feature in ServiceNow's Natural Language Understanding (NLU) enables you to evaluate and enhance the performance of your NLU models. By using the default test set associated with each model, users can assess accuracy and make necessary adjustments over time using the NLU Workbench.
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Key Features
- Accessing Default Test Set: Navigate through the NLU Workbench to locate and manage the default test set associated with your model.
- Adding Content: Users can manually add test utterances and expected intents, import from CSV files, or utilize actual user utterances from Virtual Agent logs through the Expert Feedback Loop.
- Test Coverage: Aim for at least 60% coverage of enabled intents with a minimum of 5 test utterances per intent to ensure optimal testing results.
- Characteristics: Default test sets are automatically created during upgrades and when models are duplicated. They cannot be deleted separately from models and should be in the model's language.
- Downloading and Moving Test Sets: Test sets can be downloaded in CSV format and moved through update sets, including associated utterances and intents.
Key Outcomes
By effectively managing test sets, ServiceNow customers can ensure their NLU models are accurate and reliable. Regular testing and updates to the test set will lead to improved model performance, better handling of irrelevant utterances, and overall enhanced user experiences in applications such as Virtual Agent and AI Search.
Use the default test set of your NLU model to test the model's performance and accuracy. Manage your test set over time by building or updating its content in the NLU Workbench.
Access your default test set
- Navigate to . Select the tab for your model's application, then the name of your model from the list.
On the model's overview
page, find the Build and Train your model card and select its View phase button.
Then select the Test set tab.
- Navigate to . Select the tab for your model's application, then the name of your model from the list.
On the model's overview page, select the Test Coverage tile.
- Navigate to tab. Find the name of your model. Default test sets are labeled as
Default.
Add content to your default test set
Add utterances and their expected intents to build and manage your test set over time. You can add content to the default test set with the following methods:
- Add test utterances and their expected intents manually.
From the model's overview page navigate
to tab. Type your input into the Type a test utterance here field, select an appropriate intent,
then select the Add button.
These test utterances are assigned a source of Manual.
- Import test utterances and their expected intents from a CSV file or from other
models. To import content to a default test set, from the model's overview page navigate
to tab. Select Import test utterances.
Imported test utterances are assigned a source of Manual.
- The Expert Feedback
Loop feature lets you add actual user utterances from Virtual Agent chat
logs to the test set.
These test utterances are assigned a source of Expert Feedback. For more information, see NLU Expert Feedback Loop.
Test Coverage
The Test Coverage score is the percentage of a model's enabled intents that have test utterances in the default test set. Before testing your model, ensure that there is at least 60% coverage. The higher the Test Coverage score, the more accurate the performance testing results.
Your test coverage needs to be at least 60%, with at least 5 test utterances per intent, in order for the system to provide an optimal confidence threshold during batch testing. For more information about the confidence threshold, see NLU model settings.
Aim to have about 10 percent of a model's test utterances marked as "not relevant", meaning that there is no intent associated. This helps assess how the model handles irrelevant utterances which should not have any intent predicted. For more information about irrelevant utterances, see Irrelevance detection in NLU.
Use the test set
To use the default test set from the Test and publish your model phase, see Test and publish your model.
To use the test set in Multi-model Batch Testing, see Multi-model Batch Testing.
Characteristics of default test sets
When an instance is upgraded, default test sets are created for any existing models that don't already have them.
When you copy a model using Duplicate this model, the original's default test set is copied into the new model. For more information, see Duplicate an NLU model.
The utterances in the test set shouldn't be the same as the utterances in the training set.
Default test sets can't be deleted separately from their models.
Test set utterances should be in the same language as their model.
Test sets are available for Virtual Agent or AI Search models.
Downloading or moving default test sets
Default test sets can be downloaded or moved as follows.
- Default test sets can be separately downloaded in CSV format. To download the test set,
from the model's overview page navigate to tab. Select Download test set.Note:Test sets that are downloaded from Download test set contain test utterances and their expected intents, but not the sources.
- Default test sets can be moved with update sets. When you add an NLU model to an update set, its default test set is added, including test utterances, expected intents, and sources. For more information, see Add an NLU model to an update set.
- When using the Export model as CSV function in the All existing models table, the default test set is not included. For more information, see Export an NLU model.